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I’m currently pursuing my Master’s in Computer Science at the University of Kansas.I worked as a Research Assistant at NCCS, University of Kansas, where I developed a real-time BLE-based geofencing system for worker safety using Raspberry Pi devices. My work involved designing and optimizing Python-based data pipelines, applying Kalman filtering and SVM regression to reduce noise, and implementing 2D trilateration algorithms that achieved sub-meter localization accuracy. Before that, I worked as a Software Engineer at NielsenIQ, where I built Python automation tools to streamline regression workflows, optimized Oracle SQL queries for faster execution, and created web interfaces to improve data visualization and internal efficiency. My technical expertise includes Java, Python, React, Next.js, Spring Boot, and AWS, with hands-on experience in IoT, machine learning, and full-stack web development. I’m passionate about developing intelligent, scalable, and efficient systems that connect software, data, and real-world applications.…I’m currently pursuing my Master’s in Computer Science at the University of Kansas.I worked as a Research Assistant at NCCS, University of Kansas, where I developed a real-time BLE-based geofencing system for worker safety using Raspberry Pi devices. My work involved designing and optimizing Python-based data pipelines, applying Kalman filtering and SVM regression to reduce noise, and implementing 2D trilateration algorithms that achieved sub-meter localization accuracy. Before that, I worked as a Software Engineer at NielsenIQ, where I built Python automation tools to streamline regression workflows, optimized Oracle SQL queries for faster execution, and created web interfaces to improve data visualization and internal efficiency. My technical expertise includes Java, Python, React, Next.js, Spring Boot, and AWS, with hands-on experience in IoT, machine learning, and full-stack web development. I’m passionate about developing intelligent, scalable, and efficient systems that connect software, data, and real-world applications.

Sindhu Reddy Badugula

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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I’m currently pursuing my Master’s in Computer Science at the University of Kansas.I worked as a Research Assistant at NCCS, University of Kansas, where I developed a real-time BLE-based geofencing system for worker safety using Raspberry Pi devices. My work involved designing and optimizing Python-based data pipelines, applying Kalman filtering and SVM regression to reduce noise, and implementing 2D trilateration algorithms that achieved sub-meter localization accuracy. Before that, I worked as a Software Engineer at NielsenIQ, where I built Python automation tools to streamline regression workflows, optimized Oracle SQL queries for faster execution, and created web interfaces to improve data visualization and internal efficiency. My technical expertise includes Java, Python, React, Next.js, Spring Boot, and AWS, with hands-on experience in IoT, machine learning, and full-stack web development. I’m passionate about developing intelligent, scalable, and efficient systems that connect software, data, and real-world applications.…I’m currently pursuing my Master’s in Computer Science at the University of Kansas.I worked as a Research Assistant at NCCS, University of Kansas, where I developed a real-time BLE-based geofencing system for worker safety using Raspberry Pi devices. My work involved designing and optimizing Python-based data pipelines, applying Kalman filtering and SVM regression to reduce noise, and implementing 2D trilateration algorithms that achieved sub-meter localization accuracy. Before that, I worked as a Software Engineer at NielsenIQ, where I built Python automation tools to streamline regression workflows, optimized Oracle SQL queries for faster execution, and created web interfaces to improve data visualization and internal efficiency. My technical expertise includes Java, Python, React, Next.js, Spring Boot, and AWS, with hands-on experience in IoT, machine learning, and full-stack web development. I’m passionate about developing intelligent, scalable, and efficient systems that connect software, data, and real-world applications.

Available to hire

I’m currently pursuing my Master’s in Computer Science at the University of Kansas.I worked as a Research Assistant at NCCS, University of Kansas, where I developed a real-time BLE-based geofencing system for worker safety using Raspberry Pi devices. My work involved designing and optimizing Python-based data pipelines, applying Kalman filtering and SVM regression to reduce noise, and implementing 2D trilateration algorithms that achieved sub-meter localization accuracy. Before that, I worked as a Software Engineer at NielsenIQ, where I built Python automation tools to streamline regression workflows, optimized Oracle SQL queries for faster execution, and created web interfaces to improve data visualization and internal efficiency. My technical expertise includes Java, Python, React, Next.js, Spring Boot, and AWS, with hands-on experience in IoT, machine learning, and full-stack web development. I’m passionate about developing intelligent, scalable, and efficient systems that connect software, data, and real-world applications.

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Work Experience

Graduate Research Assistant at University of Kansas – NCCS

August 1, 2025 - August 1, 2025

Engineering a real-time BLE-based geofencing system using Raspberry Pi for personnel safety, reducing RSSI noise with Kalman filtering and SVM regression, achieving <1.5m localization accuracy via a custom 2D trilateration algorithm; building scalable Python pipelines to process 100K+ RSSI signals per day, automating ingestion with pandas/NumPy, and enabling real-time visualization with matplotlib (<100ms latency) for IoT safety monitoring.

Software Engineer at NielsenIQ

July 1, 2024 - July 1, 2024

Developed an internal Python automation tool to manage end-to-end regression workflows (data archiving, index optimization, backups), reducing manual DB maintenance time by 70%. Tuned 15+ high-impact SQL queries to improve Oracle DB performance by up to 60%, implemented automated data quality checks with 98%+ anomaly detection/correction pre-deployment, and built secure Python automation scripts via SSH for remote data extraction of up to 500 MB/day with encrypted transmission, reducing manual handling by 6+ hours/week.

Software Engineer Intern at NielsenIQ

May 1, 2023 - May 1, 2023

Designed a real-time data analysis pipeline processing 20,000+ records/day, reducing reporting latency by 25%, automating ETL validation and 15+ data quality checks; built a user-friendly web interface for dataset uploads (up to 100K rows) with dynamic previews and visualizations, cutting data onboarding time by 40% and improving internal data accuracy.